AniDiary: Daily cartoon-style diary exploits Bayesian networks

Sung Bae Cho, Kyung Joong Kim, Keum Sung Hwang, In Ji Song

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)


Anidiary helps to summarize the daily life of the users with a cartoon-style diary based on information collected from mobile devices such as smart phones using Bayesian networks. Anidiary automatically detects the landmark events and transforms numerous logs into user-friendly cartoon images. Bayesian networks logs and preprocesses events and selects the most memorable ones and converts them into cartoon image components from the database and composes them into cartoons. There are various resources available for logging information and require additional devoices to the phone such as ContextPhone that is a context-logging software for Nokia 60 smart phones. The logging system runs on Windows CE with a small GPS receiver attached to the device that continuously records the user's latitude and longitude and allows the user to access call logs and the address book.

Original languageEnglish
Pages (from-to)66-75
Number of pages10
JournalIEEE Pervasive Computing
Issue number3
Publication statusPublished - 2007 Jul

Bibliographical note

Funding Information:
This research was supported in part by the Sam-sung Advanced Institute of Technology and MIC (Korea) under ITRC IITA-2005-(C1090-0501-0019).

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Computational Theory and Mathematics


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